Abstract
This is an application of multiple targets detection in the automatic driving scene based on computer vision, which integrates most of the major-aspects of the automatic driving scene, including the detection of lane lines and the identification of targets in current road conditions, such as vehicles, pedestrians, etc. This method has high precision, computational efficiency and strong practicability. The invention is mainly divided into two parts. First of all, in the lane line detection, we first carry out gray transformation on the input image, converting the RGB image into gray. Canny operator was used to obtain edge images after graying and binarization of ROI region. Then the edge image is transformed by Hough transform, and the edge line segment is converted from image space to Hough space. r- Image input r-l-mage g raysca e change Hough Canny transform edge extracts extraction Line rstablishment of regions of interest Morphological Canny Opening edge Operation extraction - wmr] Figure I
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